Sjøgaard Gisela, Søgaard Karen, Hansen Anne Faber, Østergaard Anne Skov, Teljigovic Sanel, Dalager Tina
Department of Sports Science and Clinical Biomechanics, Faculty of Health Sciences, University of Southern Denmark, DK-5230 Odense M, Denmark.
Ørsted, QHSE Subject Matter Experts, DK-2820 Gentofte, Denmark.
J Funct Morphol Kinesiol. 2023 May 26;8(2):73. doi: 10.3390/jfmk8020073.
The background for this paper concerns a high frequency of work-related disorders that may result from physical exposure at work being highly sedentary, repetitive-monotonous, or physically demanding. This may result in levels of physical inactivity or strenuous activity impairing health. The aim is to present an evidence-based exercise prescription for the work-life population and beyond. The exercise program is designed to be feasible for use at the workplace and/or during leisure time and to improve health, workability, productivity, sickness absence, etc. The specific concept of Intelligent Physical Exercise Training, IPET, includes the assessment of several health-related variables, including musculoskeletal disorders, physical capacity, and physical exposure at work and/or daily life activity. An algorithm with cut-points for prescribing specific exercises is provided. Exercise programs in praxis are addressed through descriptions of precise executions of various prescribed exercises and possible alternatives to optimize variation and adherence. Finally, perspectives on the significance of introducing IPET and the ongoing, as well as future lines of development, are discussed.
本文的背景涉及与工作相关疾病的高发生率，这些疾病可能源于工作中的身体暴露，如长时间久坐、重复性单调工作或体力要求高的工作。这可能导致身体缺乏活动或剧烈活动的程度损害健康。目的是为工作人群及其他人群提供基于证据的运动处方。该运动计划旨在在工作场所和/或休闲时间使用时可行，并改善健康、工作能力、生产力、病假等情况。智能体育锻炼训练（IPET）的具体概念包括对几个与健康相关变量的评估，包括肌肉骨骼疾病、身体能力以及工作和/或日常生活活动中的身体暴露。提供了一个带有规定特定锻炼切点的算法。通过描述各种规定锻炼的精确执行以及优化变化和依从性的可能替代方案，探讨了实践中的运动计划。最后，讨论了引入IPET的意义以及当前和未来的发展方向。
